Results 171 to 180 of about 546,227 (357)

Securing Generative Artificial Intelligence with Parallel Magnetic Tunnel Junction True Randomness

Advanced Intelligent Systems, EarlyView.
True random numbers can protect generative artificial intelligence (GAI) models from attacks. A highly parallel, spin‐transfer torque magnetic tunnel junction‐based system is demonstrated that generates high‐quality, energy‐efficient random numbers.
Youwei Bao, Shuhan Yang, Hyunsoo Yang
wiley   +1 more source

Geophysical Prospecting for the Detection of Buried and Shallow Submerged Archaeological Sites of Roman Period in the Lagoon of Venice (Italy)

Archaeological Prospection, EarlyView.
ABSTRACT We present a study that combines several marine geophysical techniques to detect and map archaeological sites from the Roman period in the shallow waters of the Venice Lagoon, Italy. We employed marine electrical resistivity tomography (M‐ERT), a drone‐based unmanned surface vehicle (USV) multibeam sonar, and subbottom profiler technology to ...
Carlo Beltrame, Elisa Costa, Paolo Mozzi, Alberto Carrera, Jacopo Boaga   +4 more
wiley   +1 more source

Research data management services in academic libraries to support the research data life cycle: A systematic review. An Annual Review of Information Science and Technology (ARIST) paper

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Academic libraries play an increasingly crucial role in providing services, information, education, and infrastructure support related to research data management (RDM). This systematic review aims to provide a comprehensive and critical analysis of the state of RDM services offered by academic libraries worldwide.
Richard Cheng Yong Ho, Suei Nee Wong, Patsy Chia, Chris Tang, Magdeline Tao Tao Ng   +4 more
wiley   +1 more source

Greening the Narrative: How Organizational Culture Impacts Environmental Disclosures

Business Strategy and the Environment, EarlyView.
ABSTRACT In light of existential dangers to our planet, the urgency to reevaluate corporate practices has never been more palpable. With an emphasis on disclosures, this groundbreaking research sets out to analyze the complex relationship between corporate culture and its significant influence on environmental sustainability within firms.
Gurmani Chadha, Monica Singhania, Shikha Gupta   +2 more
wiley   +1 more source

Strategic Sustainability Reporting, Impression Management and Board Gender Diversity: Evidence From Luxury Fashion Industry

Business Strategy and the Environment, EarlyView.
ABSTRACT The study aims to examine the impression management (IM) of the luxury fashion industry through communications using annual reports and the influence of board gender diversity (BGD). Using a computational approach with Python and Natural Language Processing on sustainability practices and performance of 19 luxury fashion companies from Top 100
Christina Ionela Neokleous, Mahmoud Elmarzouky   +1 more
wiley   +1 more source

Decoding Disbelief: Using Natural Language Processing's Sentiment Analysis to Assess 24 Years of Unfounded Rape Reports Narratives

Behavioral Sciences &the Law, EarlyView.
ABSTRACT Rape myths, including the belief that victims frequently lie, contribute to barriers in justice, such as the disproportionate use of the “unfounded” classification—where, following an investigation, it is determined no crime occurred. This study analyzes rape report narratives tied to previously untested sexual assault kits (N = 5638) from a ...
Rachel E. Lovell, Lacey Caporale, Jiaxin Du   +2 more
wiley   +1 more source

A digital shadow of CAR T cell expansion in a perfusion bioreactor: Informing optimal harvest times for autologous cell therapy

Biotechnology Progress, EarlyView.
Using online metabolite data from the first few days of a bioreactor run, the digital shadow can forecast the cell concentration in real‐time with an accuracy of 13% (standard deviation ≈ 6%). These predictions can guide the optimal harvest time of CAR T cells for subsequent re‐infusion into the patient.
Joseph R. Egan, Núria Marí‐Buyé, Elia Vallejo Benítez‐Cano, Miquel Costa, Linda Wanika, Michael J. Chappell, Ursula Schultz, Jelena Ochs, Manuel Effenberger, David Horna, Qasim Rafiq, Stephen Goldrick   +11 more
wiley   +1 more source

A Conversational Large‐Language‐Model Tutor that Accelerates Machine‐Learning Method Development in Routine Bioanalytical Workflows

ChemBioChem, EarlyView.
A structured chatbot assistant supports machine learning model development in bioanalytical chemistry by guiding experimental scientists through each workflow stage using natural language. Built on a general‐purpose large language model and prompt engineering, its structured design and full documentation offer a lightweight, adaptable workflow for ...
An T. H. Le, Thomas Shvekher, Lewis Nguyen, Sergey N. Krylov   +3 more
wiley   +1 more source

Rock Mass Anomaly Detection with a Variational Autoencoder in Tunnel Boring Machine Data

Civil Engineering Design, EarlyView.
Abstract This study presents an unsupervised machine learning approach to rock mass anomaly detection in tunnel boring machine operational data using a Variational Autoencoder combined with bidirectional Long Short‐Term Memory cells. The model was trained on TBM data from the Brenner Base Tunnel project, with minor faults and geotechnically relevant ...
Mario Wölflingseder, Paul J. Unterlass, Thomas Marcher   +2 more
wiley   +1 more source

Machine Learning–Enhanced Fischer–Tropsch Synthesis: Optimizing Catalysts and Process Conditions for Efficient Fuel Production

Chemie Ingenieur Technik, EarlyView.
In this work, a machine learning framework is used to model and optimize the performance of metal/zeolite catalysts in FTS for liquid fuel production. CatBoost model showed high accuracy in predicting performance. Multi‐objective optimization identified the optimum operating conditions and catalyst formulation.
Mitra Jafari, Bogdan Dorneanu, Harvey Arellano‐Garcia   +2 more
wiley   +1 more source